This is a continuing session from last week’s Informatica Data Quality (IDQ) training, designed to go deeper into the practical responsibilities of a Data Quality Analyst using the IDQ tool.
In this session, we will focus on how Data Quality Analysts work in real projects using Informatica Data Quality, and how IDQ directly supports and enables the recommendations of the DAMA Data Management Framework.
We will demonstrate how organizations can measure, monitor, and govern data quality without writing custom code, by leveraging built-in IDQ capabilities and configuring them based on business needs.
What We’ll Cover
- Data Quality Analyst tasks using Informatica IDQ
- Data profiling reports and real-world profiling use cases
- Measuring and reporting data quality using Scorecards
- Reference Data Management in IDQ
- How DAMA principles translate into practical implementation
- How Informatica IDQ enables DAMA-recommended metrics, governance, and controls
- Why organizations can focus on business outcomes instead of custom development
Example:
DAMA recommends that organizations define metrics to measure data quality. Informatica IDQ provides Scorecards to configure these metrics and continuously measure data quality. Similarly, DAMA defines principles, activities, and governance across data management disciplines, and Informatica IDQ offers the technical capabilities to implement them directly, without hiring programmers or writing custom code.
Who Should Attend
Data Quality Analysts and aspiring IDQ professionals
Data Governance and MDM practitioners
BI and Analytics professionals
SQL and ETL developers transitioning into data quality roles
📌 Format: Free, Live, Instructor-led
📌 Duration: 60 minutes
📌 Trainer: Industry expert with deep experience in Data Quality and Governance
Registration Now Free!
Stay connected and continue your IDQ learning journey with us.
Event Venue
Online
INR 0.00
